EmbeddingGemma - 300M
EmbeddingGemma - 300M is an AI model published by Google Deep Mind, released on 2025-09-05, for Embedding model, with 300M parameters, and 2K context length, requiring about 1.21GB storage, with a 61.15 score on MTEB.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
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EmbeddingGemma - 300M currently shows benchmark results led by MTEB (5 / 5, score 61.15). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Model Overview
EmbeddingGemma - 300M is an AI model published by Google Deep Mind, released on 2025-09-05, for Embedding model, with 300M parameters, and 2K context length, requiring about 1.21GB storage, with a 61.15 score on MTEB.
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